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Code Difference Guided Adversarial Example Generation for Deep Code
  Models
v1v2 (latest)

Code Difference Guided Adversarial Example Generation for Deep Code Models

International Conference on Automated Software Engineering (ASE), 2023
6 January 2023
Zhao Tian
Junjie Chen
Zhi Jin
    AAML
ArXiv (abs)PDFHTMLGithub

Papers citing "Code Difference Guided Adversarial Example Generation for Deep Code Models"

6 / 6 papers shown
A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher?
A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher?
Md. Abdul Awal
Mrigank Rochan
Chanchal K. Roy
248
1
0
07 Nov 2025
Evaluate-and-Purify: Fortifying Code Language Models Against Adversarial Attacks Using LLM-as-a-Judge
Evaluate-and-Purify: Fortifying Code Language Models Against Adversarial Attacks Using LLM-as-a-Judge
Wenhan Mu
Ling Xu
Shuren Pei
Le Mi
Huichi Zhou
AAMLELM
481
7
0
28 Apr 2025
XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants
XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants
Adam Štorek
Mukur Gupta
Noopur Bhatt
Aditya Gupta
Janie Kim
Prashast Srivastava
Suman Jana
AAMLSILM
626
5
0
18 Mar 2025
Evaluating the Generalizability of LLMs in Automated Program Repair
Evaluating the Generalizability of LLMs in Automated Program Repair
Fengjie Li
Jiajun Jiang
Jiajun Sun
Hongyu Zhang
233
3
0
12 Mar 2025
Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code
Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for CodeInternational Conference on Information Control Systems & Technologies (ICICST), 2023
Shahin Honarvar
Mark van der Wilk
Alastair Donaldson
546
14
0
28 Jan 2025
A Survey on Adversarial Machine Learning for Code Data: Realistic
  Threats, Countermeasures, and Interpretations
A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations
Yulong Yang
Haoran Fan
Chenhao Lin
Qian Li
Subrat Kishore Dutta
Chao Shen
Xiaohong Guan
AAML
294
2
0
12 Nov 2024
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